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Identifying vars based on high frequency futures data

  • Jon Faust
  • Eric T. Swanson
  • Jonathan H. Wright

Using the prices of federal funds futures contracts, we measure the impact of the surprise component of Federal Reserve policy decisions on the expected future trajectory of interest rates. We show how this information can be used to identify the effects of a monetary policy shock in a standard monetary policy VAR. This constitutes an alternative approach to identification that is quite different, and, we would argue, more plausible, than the conventional short-run restrictions. We find that the usual recursive identification of the model is rejected, but we nevertheless agree with the literature's conclusion that only a small fraction of the variance of output can be attributed to monetary policy shocks.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 720.

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Date of creation: 2002
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Handle: RePEc:fip:fedgif:720
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  1. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 1994. "The effects of monetary policy shocks: evidence from the flow of funds," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
  2. Glenn D. Rudebusch, 1996. "Do measures of monetary policy in a VAR make sense?," Working Papers in Applied Economic Theory 96-05, Federal Reserve Bank of San Francisco.
  3. Gabriel Perez-Quiros & Margaret M. McConnell, 2000. "Output Fluctuations in the United States: What Has Changed since the Early 1980's?," American Economic Review, American Economic Association, vol. 90(5), pages 1464-1476, December.
  4. Paul Soderlind & Lars E. O. Svensson, 1997. "New Techniques to Extract Market Expectations from Financial Instruments," NBER Working Papers 5877, National Bureau of Economic Research, Inc.
  5. Bagliano, Fabio C. & Favero, Carlo A., 1999. "Information from financial markets and VAR measures of monetary policy," European Economic Review, Elsevier, vol. 43(4-6), pages 825-837, April.
  6. Tore Ellingsen & Ulf Soderstrom, 2001. "Monetary Policy and Market Interest Rates," American Economic Review, American Economic Association, vol. 91(5), pages 1594-1607, December.
  7. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1998. "Monetary Policy Shocks: What Have We Learned and to What End?," NBER Working Papers 6400, National Bureau of Economic Research, Inc.
  8. Barth, Marvin J III & Ramey, Valerie A, 2000. "The Cost Channel of Monetary Transmissions," University of California at San Diego, Economics Working Paper Series qt7rm5q9sk, Department of Economics, UC San Diego.
  9. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
  10. Robert G. King & Mark W. Watson, 1992. "Testing long run neutrality," Working Paper Series, Macroeconomic Issues 92-18, Federal Reserve Bank of Chicago.
  11. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1997. "Sticky price and limited participation models of money: A comparison," European Economic Review, Elsevier, vol. 41(6), pages 1201-1249, June.
  12. John C. Robertson & Ellis W. Tallman, 1999. "Improving forecasts of the federal funds rate in a policy model," FRB Atlanta Working Paper 99-3, Federal Reserve Bank of Atlanta.
  13. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
  14. Refet S. Gürkaynak & Brian P. Sack & Eric T. Swanson, 2002. "Market-based measures of monetary policy expectations," Finance and Economics Discussion Series 2002-40, Board of Governors of the Federal Reserve System (U.S.).
  15. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 869-902.
  16. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
  17. Monika Piazzesi, 2002. "The Fed and Interest Rates - A High-Frequency Identification," American Economic Review, American Economic Association, vol. 92(2), pages 90-95, May.
  18. Lawrence J. Christiano & Martin Eichenbaum, 1992. "Liquidity Effects and the Monetary Transmission Mechanism," NBER Working Papers 3974, National Bureau of Economic Research, Inc.
  19. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
  20. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
  21. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
  22. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  23. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-21, September.
  24. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
  25. Cragg, John G. & Donald, Stephen G., 1997. "Inferring the rank of a matrix," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 223-250.
  26. Joel T. Krueger & Kenneth N. Kuttner, 1995. "The Fed funds futures rate as a predictor of Federal Reserve policy," Working Paper Series, Macroeconomic Issues 95-4, Federal Reserve Bank of Chicago.
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